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- Tasks: Build and operate GPU clusters for impactful humanitarian research.
- Company: Well-funded research organisation in Oxford focused on real-world challenges.
- Benefits: Highly competitive salary, flexible package, and opportunity to make a difference.
- Why this job: Your work will directly support meaningful humanitarian outcomes, not just metrics.
- Qualifications: Experience with ML compute infrastructure and deep understanding of GPU architecture.
- Other info: No need for a polished CV to apply; we can sort that later.
Want to help make the world a better & safer place? This opportunity is with a well-funded research organisation in Oxford, tackling genuinely meaningful, real-world humanitarian challenges.
They’re looking for someone to take ownership of the GPU compute platform that underpins their scientists’ work every day. In this role, you would:
- Build and operate GPU clusters for large-scale training and inference.
- Optimise data pipelines, storage systems, and networking for distributed workloads.
- Analyse performance and eliminate bottlenecks across the stack.
- Implement observability and security within a sensitive research environment.
- Collaborate closely with researchers on capacity planning and experimentation tooling.
What they’re looking for:
- Proven experience building and running ML compute infrastructure at scale.
- Deep understanding of GPU architecture and high-performance networking.
- Hands-on experience with Infrastructure as Code and CI/CD pipelines.
- Ability to work independently and shape solutions collaboratively.
- Experience migrating from traditional schedulers to containerised systems (nice to have).
Why this role? Because the infrastructure you build will directly support work that actually makes a difference, not just optimising engagement metrics, but contributing to real humanitarian outcomes. Compensation is also highly competitive. The budget is flexible, and they’re open to structuring a package that works for the right person, with salaries up to £300k (and potentially higher for exceptional candidates).
Interested? Click “Easy Apply”, and I’ll be in touch with more details. No need for a polished CV at this stage - we can sort that out later.
Infrastructure Engineer in Oxford employer: Tact
Contact Detail:
Tact Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Infrastructure Engineer in Oxford
✨Tip Number 1
Get to know the company and its mission. When you apply, show genuine interest in how your skills can help tackle those humanitarian challenges. We want to see that you’re not just looking for a job, but that you’re passionate about making a difference.
✨Tip Number 2
Network like a pro! Reach out to current employees on LinkedIn or attend industry events. We can’t stress enough how valuable personal connections can be in landing that interview. Plus, it shows you’re proactive!
✨Tip Number 3
Prepare for technical discussions. Brush up on your knowledge of GPU architecture and high-performance networking. We recommend practising common interview questions related to ML compute infrastructure so you can showcase your expertise confidently.
✨Tip Number 4
Don’t forget to apply through our website! It’s the easiest way to get your application noticed. Remember, no need for a polished CV just yet; we’re more interested in your potential and how you can contribute to our mission.
We think you need these skills to ace Infrastructure Engineer in Oxford
Some tips for your application 🫡
Be Yourself: When you're writing your application, let your personality shine through! We want to get to know the real you, so don’t be afraid to show your passion for infrastructure engineering and how it aligns with our mission.
Tailor Your Application: Make sure to highlight your relevant experience in building and running ML compute infrastructure. We’re looking for specific skills like GPU architecture knowledge and Infrastructure as Code, so weave those into your application!
Keep It Clear and Concise: While we love a good story, keep your application straightforward. Use clear language and bullet points where possible to make it easy for us to see your qualifications and achievements at a glance.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for this exciting opportunity to make a real difference!
How to prepare for a job interview at Tact
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of GPU architecture and high-performance networking. Be ready to discuss your hands-on experience with ML compute infrastructure and how you've optimised data pipelines in the past.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've analysed performance issues and eliminated bottlenecks in previous roles. Think about specific challenges you've faced and how you approached them, especially in a collaborative environment.
✨Familiarise Yourself with Infrastructure as Code
Since this role involves CI/CD pipelines, be prepared to talk about your experience with Infrastructure as Code. Highlight any projects where you've implemented these practices and how they improved efficiency.
✨Demonstrate Your Passion for Humanitarian Work
This organisation is focused on making a real difference, so express your enthusiasm for contributing to meaningful projects. Share any relevant experiences or motivations that align with their mission to tackle humanitarian challenges.